Scrape & Summarize Product Hunt Feedback with BrowserAct & Gemini AI

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Product Hunt Launch Monitor - Scraping & Summarization of Product Hunt Feedbacks

This n8n template provides automated competitive intelligence by scraping and summarizing Product Hunt launch feedback with a specialized AI analyst.

This workflow is essential for product managers, marketing teams, and founders who need to quickly gather and distill actionable insights from competitor launches to inform their own product strategy and positioning.

Self-Hosted Only

This Workflow uses a community contribution and is designed and tested for self-hosted n8n instances only.

How it works

The workflow can be triggered manually but is designed to be easily switched to a Schedule Trigger for continuous competitive monitoring.
A Google Sheet node fetches a list of product names you wish to monitor, which the workflow processes in a loop.
A BrowserAct node then initiates a web scraping task to collect all the public comments from the specified Product Hunt launch page.
An AI Agent, powered by Google Gemini, acts as a competitive intelligence analyst, processing the raw comments.
The AI distills the feedback into a structured format, providing a concise Summary, pinpointing key Positive and Negative feedback, and generating Recommendations for a similar product to be successful.
The structured analysis is saved to a Google Sheet for easy review and tracking.
Finally, a Slack notification confirms that the Product Hunt results have been processed and updated.